The complexity of shelflisting
Yongjie Yang and
Dinko Dimitrov
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Yongjie Yang: Saarland University
Theory and Decision, 2019, vol. 86, issue 1, No 7, 123-141
Abstract:
Abstract Optimal shelflisting invites profit maximization to become sensitive to the ways in which purchasing decisions are order-dependent. We study the computational complexity of the corresponding product arrangement problem when consumers are either rational maximizers, use a satisficing procedure, or apply successive choice. The complexity results we report are shown to crucially depend on the size of the top cycle in consumers’ preferences over products and on the direction in which alternatives on the shelf are encountered.
Keywords: Bounded rationality; Choice from lists; Computational complexity; Product arrangement; Top cycle (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:kap:theord:v:86:y:2019:i:1:d:10.1007_s11238-018-9675-7
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DOI: 10.1007/s11238-018-9675-7
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